Instalaciones

Requirement already satisfied: leafmap in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (0.4.1)
Requirement already satisfied: whiteboxgui in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from leafmap) (0.3.0)
Requirement already satisfied: whitebox in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from leafmap) (1.5.1)
Requirement already satisfied: mss in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from leafmap) (6.1.0)
Requirement already satisfied: ipyevents<=0.9.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from leafmap) (0.9.0)
Requirement already satisfied: bqplot in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from leafmap) (0.12.30)
Requirement already satisfied: googledrivedownloader in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from leafmap) (0.4)
Requirement already satisfied: python-box in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from leafmap) (5.4.0)
Requirement already satisfied: ipyleaflet in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from leafmap) (0.14.0)
Requirement already satisfied: folium>=0.12.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from leafmap) (0.12.1)
Requirement already satisfied: pyshp>=2.1.3 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from leafmap) (2.1.3)
Requirement already satisfied: numpy in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from leafmap) (1.20.3)
Requirement already satisfied: here-map-widget-for-jupyter>=1.1.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from leafmap) (1.1.1)
Requirement already satisfied: xyzservices in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from leafmap) (2021.8.1)
Requirement already satisfied: geojson in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from leafmap) (2.5.0)
Requirement already satisfied: colour in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from leafmap) (0.1.5)
Requirement already satisfied: matplotlib in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from leafmap) (3.4.2)
Requirement already satisfied: pycrs in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from leafmap) (1.0.2)
Requirement already satisfied: pandas in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from leafmap) (1.3.1)
Requirement already satisfied: jinja2>=2.9 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from folium>=0.12.0->leafmap) (3.0.1)
Requirement already satisfied: branca>=0.3.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from folium>=0.12.0->leafmap) (0.4.2)
Requirement already satisfied: requests in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from folium>=0.12.0->leafmap) (2.26.0)
Requirement already satisfied: ipywidgets<8,>=7.6.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from here-map-widget-for-jupyter>=1.1.1->leafmap) (7.6.3)
Requirement already satisfied: ipykernel>=4.5.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (5.3.4)
Requirement already satisfied: ipython>=4.0.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (7.26.0)
Requirement already satisfied: nbformat>=4.2.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (5.1.3)
Requirement already satisfied: widgetsnbextension~=3.5.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (3.5.1)
Requirement already satisfied: jupyterlab-widgets>=1.0.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (1.0.0)
Requirement already satisfied: traitlets>=4.3.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (5.0.5)
Requirement already satisfied: jupyter-client in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipykernel>=4.5.1->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (6.1.12)
Requirement already satisfied: tornado>=4.2 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipykernel>=4.5.1->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (6.1)
Requirement already satisfied: jedi>=0.16 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.18.0)
Requirement already satisfied: pickleshare in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.7.5)
Requirement already satisfied: setuptools>=18.5 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (52.0.0.post20210125)
Requirement already satisfied: decorator in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (5.0.9)
Requirement already satisfied: backcall in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.2.0)
Requirement already satisfied: colorama in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.4.4)
Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (3.0.17)
Requirement already satisfied: matplotlib-inline in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.1.2)
Requirement already satisfied: pygments in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (2.9.0)
Requirement already satisfied: parso<0.9.0,>=0.8.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from jedi>=0.16->ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.8.2)
Requirement already satisfied: MarkupSafe>=2.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from jinja2>=2.9->folium>=0.12.0->leafmap) (2.0.1)
Requirement already satisfied: ipython-genutils in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbformat>=4.2.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.2.0)
Requirement already satisfied: jupyter-core in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbformat>=4.2.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (4.7.1)
Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbformat>=4.2.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (3.2.0)
Requirement already satisfied: attrs>=17.4.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (21.2.0)
Requirement already satisfied: six>=1.11.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (1.16.0)
Requirement already satisfied: pyrsistent>=0.14.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from jsonschema!=2.5.0,>=2.4->nbformat>=4.2.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.17.3)
Requirement already satisfied: wcwidth in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython>=4.0.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.2.5)
Requirement already satisfied: notebook>=4.4.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (6.4.0)
Requirement already satisfied: pyzmq>=17 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (22.2.1)
Requirement already satisfied: argon2-cffi in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (20.1.0)
Requirement already satisfied: Send2Trash>=1.5.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (1.5.0)
Requirement already satisfied: prometheus-client in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.11.0)
Requirement already satisfied: terminado>=0.8.3 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.9.4)
Requirement already satisfied: nbconvert in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (6.1.0)
Requirement already satisfied: python-dateutil>=2.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from jupyter-client->ipykernel>=4.5.1->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (2.8.2)
Requirement already satisfied: pywin32>=1.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from jupyter-core->nbformat>=4.2.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (228)
Requirement already satisfied: pywinpty>=0.5 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from terminado>=0.8.3->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.5.7)
Requirement already satisfied: cffi>=1.0.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (1.14.6)
Requirement already satisfied: pycparser in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from cffi>=1.0.0->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (2.20)
Requirement already satisfied: traittypes>=0.0.6 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from bqplot->leafmap) (0.2.1)
Requirement already satisfied: pillow>=6.2.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib->leafmap) (8.3.1)
Requirement already satisfied: kiwisolver>=1.0.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib->leafmap) (1.3.1)
Requirement already satisfied: cycler>=0.10 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib->leafmap) (0.10.0)
Requirement already satisfied: pyparsing>=2.2.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from matplotlib->leafmap) (2.4.7)
Requirement already satisfied: jupyterlab-pygments in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.1.2)
Requirement already satisfied: entrypoints>=0.2.2 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.3)
Requirement already satisfied: testpath in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.5.0)
Requirement already satisfied: defusedxml in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.7.1)
Requirement already satisfied: pandocfilters>=1.4.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (1.4.3)
Requirement already satisfied: mistune<2,>=0.8.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.8.4)
Requirement already satisfied: bleach in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (4.0.0)
Requirement already satisfied: nbclient<0.6.0,>=0.5.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.5.3)
Requirement already satisfied: nest-asyncio in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbclient<0.6.0,>=0.5.0->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (1.5.1)
Requirement already satisfied: async-generator in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from nbclient<0.6.0,>=0.5.0->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (1.10)
Requirement already satisfied: packaging in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (21.0)
Requirement already satisfied: webencodings in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets<8,>=7.6.0->here-map-widget-for-jupyter>=1.1.1->leafmap) (0.5.1)
Requirement already satisfied: pytz>=2017.3 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from pandas->leafmap) (2021.1)
Requirement already satisfied: charset-normalizer~=2.0.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from requests->folium>=0.12.0->leafmap) (2.0.4)
Requirement already satisfied: idna<4,>=2.5 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from requests->folium>=0.12.0->leafmap) (3.2)
Requirement already satisfied: certifi>=2017.4.17 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from requests->folium>=0.12.0->leafmap) (2021.5.30)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from requests->folium>=0.12.0->leafmap) (1.26.6)
Requirement already satisfied: Click>=6.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from whitebox->leafmap) (7.1.2)
Requirement already satisfied: ipyfilechooser in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from whiteboxgui->leafmap) (0.4.4)
Requirement already satisfied: ipytree in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from whiteboxgui->leafmap) (0.2.1)
Requirement already satisfied: leaflet in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (0.0.3)
Requirement already satisfied: geopandas in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (0.9.0+59.g4536b92)
Requirement already satisfied: fiona>=1.8 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from geopandas) (1.8.13.post1)
Requirement already satisfied: pyproj>=2.2.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from geopandas) (2.6.1.post1)
Requirement already satisfied: pandas>=0.25.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from geopandas) (1.3.1)
Requirement already satisfied: shapely>=1.6 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from geopandas) (1.7.1)
Requirement already satisfied: attrs>=17 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from fiona>=1.8->geopandas) (21.2.0)
Requirement already satisfied: click<8,>=4.0 in c:\users\user\anaconda3\envs\plotly_dash_deploymeny_heroku\lib\site-packages (from fiona>=1.8->geopandas) (7.1.2)
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Wall time: 1min 4s

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Note: you may need to restart the kernel to use updated packages.

El nombre de archivo, el nombre de directorio o la sintaxis de la etiqueta del volumen no son correctos.

Librerias

Importar

Población 2010 y Superficie CABA

	BARRIO	POBLACION
0	AGRONOMIA	13912
1	ALMAGRO	131699
2	BALVANERA	138926
3	BARRACAS	89452
4	BELGRANO	126267
5	BOCA	45113
6	BOEDO	47306
7	CABALLITO	176076
8	CHACARITA	27761
9	COGHLAN	18604
10	COLEGIALES	52551
11	CONSTITUCION	44107
12	FLORES	164310
13	FLORESTA	37575
14	LINIERS	44132
15	MATADEROS	64436
16	MONSERRAT	39914
17	MONTE CASTRO	33623
18	NUEVA POMPEYA	42695
19	NUÑEZ	51949
20	PALERMO	226534
21	PARQUE AVELLANEDA	53229
22	PARQUE CHACABUCO	56281
23	PARQUE CHAS	17489
24	PARQUE PATRICIOS	40985
25	PATERNAL	19717
26	PUERTO MADERO	6726
27	RECOLETA	157932
28	RETIRO	65413
29	SAAVEDRA	50295
30	SAN CRISTOBAL	48611
31	SAN NICOLAS	29273
32	SAN TELMO	20453
33	VELEZ SARSFIELD	35081
34	VERSALLES	13822
35	VILLA CRESPO	81959
36	VILLA DEL PARQUE	55273
37	VILLA DEVOTO	66521
38	VILLA GRAL. MITRE	34713
39	VILLA LUGANO	126374
40	VILLA LURO	32502
41	VILLA ORTUZAR	21736
42	VILLA PUEYRREDON	39654
43	VILLA REAL	13419
44	VILLA RIACHUELO	14084
45	VILLA SANTA RITA	33325
46	VILLA SOLDATI	46779
47	VILLA URQUIZA	91563

Superficie y perimetros por barrio y comuna

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 48 entries, 0 to 47
Data columns (total 5 columns):
 #   Column     Non-Null Count  Dtype  
---  ------     --------------  -----  
 0   WKT        48 non-null     object 
 1   barrio     48 non-null     object 
 2   comuna     48 non-null     int64  
 3   perimetro  48 non-null     float64
 4   area       48 non-null     float64
dtypes: float64(2), int64(1), object(2)
memory usage: 2.0+ KB

Unimos poblacion 2010 con la superficie y perimetro de cada barrio

	barrio	poblacion	wkt	comuna	perimetro	area
0	AGRONOMIA	13912	POLYGON ((-58.4771156675186 -34.5951149914833,...	15	6556.17	2122169.34
1	ALMAGRO	131699	POLYGON ((-58.4128700313089 -34.6141162515854,...	5	8537.90	4050752.25
2	BALVANERA	138926	POLYGON ((-58.4119188098038 -34.5980030767748,...	3	8375.82	4342280.27
3	BARRACAS	89452	POLYGON ((-58.3703353711449 -34.6329258371189,...	4	12789.79	7953453.43
4	BELGRANO	126267	POLYGON ((-58.4505669109009 -34.5356104340406,...	13	20609.78	7999239.81

Espacios Verdes CABA

	WKT	nombre	nombre_ev	clasificac	patio_de_j	apadrinada	observacio	fuente_geo	fuente_ins	ubicacion	...	id_ev_pub	area	perimeter	DGEV_Padri	Mant_2017	TAREAS	ESTADO	SUP_TOTAL	Canil	Posta_aero
0	MULTIPOLYGON (((-58.4453556017045 -34.57924873...	Escuela Scalabrini Ortiz	ESCUELA Nº 13 D.E. 09 SCALABRINI ORTIZ	PLAZOLETA	NO	NaN	Redigitalización en Agosto de 2017. Unión de s...	USIG	USIG	CONDE - MATIENZO, BENJAMIN, TTE. - FREIRE, RAM...	...	2	1658.266	0.0	NaN	NaN	NaN	NaN	0	NaN	NaN
1	MULTIPOLYGON (((-58.4448074253007 -34.57987067...	Polideportivo Colegiales	POLIDEPORTIVO COLEGIALES	PARQUE	NO	NaN	Redigitalización por USIG en Agosto de 2017. U...	USIG	USIG	CONDE - MATIENZO, BENJAMIN, TTE. - FREIRE, RAM...	...	6	4686.060	0.0	NaN	NaN	NaN	NaN	0	NaN	NaN

2 rows × 32 columns

Index(['wkt', 'nombre', 'nombre_ev', 'clasificac', 'patio_de_j', 'apadrinada',
       'observacio', 'fuente_geo', 'fuente_ins', 'ubicacion', 'decreto',
       'fecha_decr', 'ordenanza_', 'fecha_orde', 'boletin_of', 'fecha_bole',
       'barrio', 'comuna', 'fech_padri', 'vig_padri', 'alc_conven', 'nom_mapa',
       'id_ev_pub', 'area', 'perimeter', 'dgev_padri', 'mant_2017', 'tareas',
       'estado', 'sup_total', 'canil', 'posta_aero'],
      dtype='object')

array(['COLEGIALES', 'BELGRANO', 'PALERMO', 'SAAVEDRA',
       'PARQUE AVELLANEDA', 'VILLA ORTUZAR', 'VILLA DEL PARQUE', 'FLORES',
       'VILLA SOLDATI', 'CABALLITO', 'VILLA LUGANO', 'MATADEROS',
       'LINIERS', 'VILLA RIACHUELO', 'VILLA URQUIZA', 'NUEVA POMPEYA',
       'PATERNAL', 'VILLA REAL', 'PARQUE PATRICIOS', 'PARQUE CHACABUCO',
       'SAN CRISTOBAL', 'VILLA GRAL. MITRE', 'ALMAGRO', 'SAN TELMO',
       'RETIRO', 'RECOLETA', 'VERSALLES', 'SAN NICOLAS', 'PUERTO MADERO',
       'MONSERRAT', 'VILLA DEVOTO', 'FLORESTA', 'BALVANERA', 'CHACARITA',
       'VELEZ SARSFIELD', 'VILLA LURO', 'CONSTITUCION',
       'VILLA SANTA RITA', 'BARRACAS', 'NUÑEZ', 'PARQUE CHAS',
       'VILLA CRESPO', 'VILLA PUEYRREDON', 'BOCA', 'BOEDO',
       'MONTE CASTRO', 'COGHLAN', 'AGRONOMIA', 'BALBANERA', nan,
       'VÉLEZ SÁRSFIELD'], dtype=object)

Completamos los barrios vacios

1418                                    NOGOYA - IRIGOYEN
1491    BERGANTIN NANCY ENTRE GOLETA MALDONADO y SUMAC...
1492    BERGANTIN NANCY ENTRE GOLETA MALDONADO y SUMAC...
1494    CAFAYATE AV - BERGANTIN GENERAL BELGRANO - CAÑ...
1495    LISANDRO DE LA TORRE AV - FRAGATA 25 DE MAYO -...
1648    MADERO EDUARDO AV - PERON JUAN DOMINGO TTE - R...
Name: ubicacion, dtype: object

Series([], Name: ubicacion, dtype: object)

Cambiamos los barrios mal escritos

Borramos la general paz, no corresponde

	barrio	area	ubicacion	nombre
1056	PUERTO MADERO	2352162.397	NOEL, CARLOS M., INT., AV. - RIO DE LA PLATA -...	Reserva Ecológica
473	VILLA REAL	1076581.106	NaN	Gral. Paz
729	VILLA SOLDATI	906759.750	LACARRA, AV. - ESCALADA, AV. - CASTAÑARES, AV....	Parque Indoamericano
1344	VILLA SOLDATI	794299.938	NaN	Pque. Polidep. Pdte. Julio A. Roca
894	VILLA LUGANO	753829.274	LARRAZABAL, AV. - FERNANDEZ DE LA CRUZ, FRANCI...	Parque de las Victorias

	barrio	clasificac	area
0	AGRONOMIA	PLAZA	1487.637
1	AGRONOMIA	PLAZOLETA	1345.905
2	ALMAGRO	PATIO RECREATIVO	208.247
3	ALMAGRO	PLAZA	7513.156
4	ALMAGRO	PLAZOLETA	1477.396
...	...	...	...
188	VILLA SOLDATI	PLAZA	25918.512
189	VILLA SOLDATI	PLAZOLETA	64925.454
190	VILLA URQUIZA	CANTERO CENTRAL	4940.958
191	VILLA URQUIZA	PLAZA	14447.291
192	VILLA URQUIZA	PLAZOLETA	23436.860

193 rows × 3 columns

	barrio	superficie_verde
0	AGRONOMIA	2833.542
1	ALMAGRO	9198.799
2	BALVANERA	30755.787
3	BARRACAS	225939.635
4	BELGRANO	1278224.942
5	BOCA	102472.372
6	BOEDO	12126.601
7	CABALLITO	215874.599
8	CHACARITA	93385.211
9	COGHLAN	17422.862
10	COLEGIALES	49849.685
11	CONSTITUCION	70559.433
12	FLORES	214981.012
13	FLORESTA	19737.558
14	LINIERS	60001.547
15	MATADEROS	116340.600
16	MONSERRAT	71474.021
17	MONTE CASTRO	26018.578
18	NUEVA POMPEYA	97422.189
19	NUÑEZ	411186.015
20	PALERMO	2217272.262
21	PARQUE AVELLANEDA	537202.616
22	PARQUE CHACABUCO	129775.942
23	PARQUE CHAS	5123.405
24	PARQUE PATRICIOS	249352.862
25	PATERNAL	81800.308
26	PUERTO MADERO	2825066.839
27	RECOLETA	336024.821
28	RETIRO	142701.684
29	SAAVEDRA	840890.532
30	SAN CRISTOBAL	15241.868
31	SAN NICOLAS	70457.296
32	SAN TELMO	66733.840
33	VELEZ SARSFIELD	28238.800
34	VERSALLES	33870.618
35	VILLA CRESPO	12319.446
36	VILLA DEL PARQUE	16665.378
37	VILLA DEVOTO	79363.310
38	VILLA GRAL. MITRE	14182.663
39	VILLA LUGANO	1204124.548
40	VILLA LURO	32149.229
41	VILLA ORTUZAR	13436.444
42	VILLA PUEYRREDON	120704.787
43	VILLA REAL	31568.328
44	VILLA RIACHUELO	79177.858
45	VILLA SANTA RITA	355.205
46	VILLA SOLDATI	2860114.663
47	VILLA URQUIZA	42825.109

Unimos los dataframes con barrios y superficies verdes

	barrio	poblacion	wkt	comuna	perimetro	area	superficie_verde	sup_verde/hab	sup_verde/sup
0	AGRONOMIA	13912	POLYGON ((-58.4771156675186 -34.5951149914833,...	15	6556.17	2122169.34	2833.542	0.20	0.00
1	ALMAGRO	131699	POLYGON ((-58.4128700313089 -34.6141162515854,...	5	8537.90	4050752.25	9198.799	0.07	0.00
2	BALVANERA	138926	POLYGON ((-58.4119188098038 -34.5980030767748,...	3	8375.82	4342280.27	30755.787	0.22	0.01
3	BARRACAS	89452	POLYGON ((-58.3703353711449 -34.6329258371189,...	4	12789.79	7953453.43	225939.635	2.53	0.03
4	BELGRANO	126267	POLYGON ((-58.4505669109009 -34.5356104340406,...	13	20609.78	7999239.81	1278224.942	10.12	0.16
5	BOCA	45113	POLYGON ((-58.3542882851118 -34.6297737886867,...	4	20060.00	5036240.45	102472.372	2.27	0.02
6	BOEDO	47306	POLYGON ((-58.411779314803 -34.6303558693605,-...	5	6602.51	2609850.88	12126.601	0.26	0.00
7	CABALLITO	176076	POLYGON ((-58.4306058283309 -34.6070470885963,...	6	10990.96	6851028.91	215874.599	1.23	0.03
8	CHACARITA	27761	POLYGON ((-58.4528200492791 -34.5959886570639,...	15	7724.85	3115707.11	93385.211	3.36	0.03
9	COGHLAN	18604	POLYGON ((-58.4724205132861 -34.5660977127668,...	12	4627.56	1279951.37	17422.862	0.94	0.01
10	COLEGIALES	52551	POLYGON ((-58.4466910921417 -34.569065630363,-...	13	6374.62	2289774.10	49849.685	0.95	0.02
11	CONSTITUCION	44107	POLYGON ((-58.3755729030828 -34.6273016183744,...	1	6326.84	2101995.00	70559.433	1.60	0.03
12	FLORES	164310	POLYGON ((-58.4604133778842 -34.6567978457031,...	7	15772.44	8590784.13	214981.012	1.31	0.03
13	FLORESTA	37575	POLYGON ((-58.4833907036583 -34.6241108718058,...	10	7519.65	2320640.74	19737.558	0.53	0.01
14	LINIERS	44132	POLYGON ((-58.5192540532325 -34.6330100952683,...	9	9256.93	4374418.74	60001.547	1.36	0.01
15	MATADEROS	64436	POLYGON ((-58.5025197162337 -34.6745050265102,...	9	11124.64	7398178.84	116340.600	1.81	0.02
16	MONSERRAT	39914	POLYGON ((-58.3687995836552 -34.6068264253903,...	1	6739.22	2198621.94	71474.021	1.79	0.03
17	MONTE CASTRO	33623	POLYGON ((-58.5034920611534 -34.6240324216321,...	10	7361.04	2627481.33	26018.578	0.77	0.01
18	NUEVA POMPEYA	42695	POLYGON ((-58.4122089488942 -34.6481348798167,...	4	11033.51	4951510.87	97422.189	2.28	0.02
19	NUÑEZ	51949	POLYGON ((-58.4587157782967 -34.5372101050856,...	13	10785.26	4424199.27	411186.015	7.92	0.09
20	PALERMO	226534	POLYGON ((-58.4267593172764 -34.5520233734028,...	14	22126.53	15845871.29	2217272.262	9.79	0.14
21	PARQUE AVELLANEDA	53229	POLYGON ((-58.4703750499015 -34.6387869543278,...	9	10165.61	4732708.21	537202.616	10.09	0.11
22	PARQUE CHACABUCO	56281	POLYGON ((-58.4323444043321 -34.641741258315,-...	7	8406.91	3832116.70	129775.942	2.31	0.03
23	PARQUE CHAS	17489	POLYGON ((-58.4708152687488 -34.58744531424,-5...	15	4531.25	1385411.51	5123.405	0.29	0.00
24	PARQUE PATRICIOS	40985	POLYGON ((-58.4103697298525 -34.648302987509,-...	4	7878.43	3743440.00	249352.862	6.08	0.07
25	PATERNAL	19717	POLYGON ((-58.4655768128541 -34.5965577078058,...	15	7087.51	2229829.03	81800.308	4.15	0.04
26	PUERTO MADERO	6726	POLYGON ((-58.3519574994471 -34.5981671240109,...	1	17725.72	5040970.89	2825066.839	420.02	0.56
27	RECOLETA	157932	POLYGON ((-58.3800038855693 -34.5700235247202,...	2	21452.84	6317264.56	336024.821	2.13	0.05
28	RETIRO	65413	POLYGON ((-58.3742728981345 -34.5787043103248,...	1	18837.99	4512710.91	142701.684	2.18	0.03
29	SAAVEDRA	50295	POLYGON ((-58.4881310699952 -34.5612869279226,...	12	11132.14	5538676.83	840890.532	16.72	0.15
30	SAN CRISTOBAL	48611	POLYGON ((-58.3915536991875 -34.6215599589853,...	3	5987.23	2043711.12	15241.868	0.31	0.01
31	SAN NICOLAS	29273	POLYGON ((-58.3679211193597 -34.6051742887552,...	1	6548.08	2289007.58	70457.296	2.41	0.03
32	SAN TELMO	20453	POLYGON ((-58.3634549856369 -34.625121372907,-...	1	5178.03	1232270.16	66733.840	3.26	0.05
33	VELEZ SARSFIELD	35081	POLYGON ((-58.4855735176658 -34.6314024168004,...	10	7045.58	2400518.33	28238.800	0.80	0.01
34	VERSALLES	13822	POLYGON ((-58.5110429614335 -34.6325601604467,...	10	5650.47	1406833.60	33870.618	2.45	0.02
35	VILLA CRESPO	81959	POLYGON ((-58.4237529813037 -34.5978273383243,...	15	8131.86	3615977.56	12319.446	0.15	0.00
36	VILLA DEL PARQUE	55273	POLYGON ((-58.4946097568899 -34.6148652395239,...	11	7705.39	3399595.64	16665.378	0.30	0.00
37	VILLA DEVOTO	66521	POLYGON ((-58.5083084424563 -34.6139197264499,...	11	11562.01	6404480.85	79363.310	1.19	0.01
38	VILLA GRAL. MITRE	34713	POLYGON ((-58.4713995731534 -34.6190380529955,...	11	6290.44	2162275.12	14182.663	0.41	0.01
39	VILLA LUGANO	126374	POLYGON ((-58.4657134919338 -34.659025022031,-...	8	15057.47	9296142.36	1204124.548	9.53	0.13
40	VILLA LURO	32502	POLYGON ((-58.5015376247954 -34.6318345193872,...	10	8652.93	2566936.87	32149.229	0.99	0.01
41	VILLA ORTUZAR	21736	POLYGON ((-58.4605469510917 -34.5779429557773,...	15	5685.00	1853802.05	13436.444	0.62	0.01
42	VILLA PUEYRREDON	39654	POLYGON ((-58.5033113250844 -34.5938561595895,...	12	7522.36	3303239.51	120704.787	3.04	0.04
43	VILLA REAL	13419	POLYGON ((-58.525116079791 -34.613999981063,-5...	10	5070.97	1334146.08	31568.328	2.35	0.02
44	VILLA RIACHUELO	14084	POLYGON ((-58.4497832682116 -34.6806103119189,...	8	10596.83	4232595.92	79177.858	5.62	0.02
45	VILLA SANTA RITA	33325	POLYGON ((-58.4819203599833 -34.6242871724757,...	11	5757.75	2153690.81	355.205	0.01	0.00
46	VILLA SOLDATI	46779	POLYGON ((-58.4491320831847 -34.6511657755509,...	8	12441.70	8688163.56	2860114.663	61.14	0.33
47	VILLA URQUIZA	91563	POLYGON ((-58.4809767085347 -34.5626425900864,...	12	10021.46	5449058.92	42825.109	0.47	0.01

	barrio	superficie_verde	%
0	AGRONOMIA	2833.542	0.018626
1	ALMAGRO	9198.799	0.060469
2	BALVANERA	30755.787	0.202174
3	BARRACAS	225939.635	1.485219
4	BELGRANO	1278224.942	8.402439
5	BOCA	102472.372	0.673604
6	BOEDO	12126.601	0.079714
7	CABALLITO	215874.599	1.419056
8	CHACARITA	93385.211	0.613870
9	COGHLAN	17422.862	0.114530
10	COLEGIALES	49849.685	0.327688
11	CONSTITUCION	70559.433	0.463824
12	FLORES	214981.012	1.413182
13	FLORESTA	19737.558	0.129745
14	LINIERS	60001.547	0.394421
15	MATADEROS	116340.600	0.764767
16	MONSERRAT	71474.021	0.469836
17	MONTE CASTRO	26018.578	0.171034
18	NUEVA POMPEYA	97422.189	0.640407
19	NUÑEZ	411186.015	2.702940
20	PALERMO	2217272.262	14.575287
21	PARQUE AVELLANEDA	537202.616	3.531313
22	PARQUE CHACABUCO	129775.942	0.853085
23	PARQUE CHAS	5123.405	0.033679
24	PARQUE PATRICIOS	249352.862	1.639126
25	PATERNAL	81800.308	0.537716
26	PUERTO MADERO	2825066.839	18.570638
27	RECOLETA	336024.821	2.208866
28	RETIRO	142701.684	0.938053
29	SAAVEDRA	840890.532	5.527612
30	SAN CRISTOBAL	15241.868	0.100193
31	SAN NICOLAS	70457.296	0.463153
32	SAN TELMO	66733.840	0.438676
33	VELEZ SARSFIELD	28238.800	0.185628
34	VERSALLES	33870.618	0.222649
35	VILLA CRESPO	12319.446	0.080982
36	VILLA DEL PARQUE	16665.378	0.109550
37	VILLA DEVOTO	79363.310	0.521696
38	VILLA GRAL. MITRE	14182.663	0.093230
39	VILLA LUGANO	1204124.548	7.915339
40	VILLA LURO	32149.229	0.211334
41	VILLA ORTUZAR	13436.444	0.088325
42	VILLA PUEYRREDON	120704.787	0.793456
43	VILLA REAL	31568.328	0.207515
44	VILLA RIACHUELO	79177.858	0.520477
45	VILLA SANTA RITA	355.205	0.002335
46	VILLA SOLDATI	2860114.663	18.801026
47	VILLA URQUIZA	42825.109	0.281512

Estaciones Bicis Mapa

	WKT	id	codigo	nombre	ubicacion	tipo	horario	anclajes_t
0	POINT (-58.3747109506359 -34.5924239181221)	2	2	002 - Retiro I	Ramos Mejia, Jose Maria, Dr. Av. & Del Liberta...	AUTOMÁTICA	Estación automática: disponibilidad las 24 horas	20
1	POINT (-58.368256111128 -34.611033074021)	3	3	003 - ADUANA	Moreno & Av Paseo Colon	AUTOMÁTICA	Estación automática: disponibilidad las 24 horas	20
2	POINT (-58.3687766674259 -34.6018228613782)	4	4	004 - Plaza Roma	Lavalle & Bouchard	AUTOMÁTICA	Estación automática: disponibilidad las 24 horas	20
3	POINT (-58.420951914897 -34.5805498216605)	5	5	005 - Plaza Italia	Av. Sarmiento 2601	AUTOMÁTICA	Estación automática: disponibilidad las 24 horas	42
4	POINT (-58.3697538990917 -34.6285274659984)	6	6	006 - Parque Lezama	Avenida Martin Garcia, 295	AUTOMÁTICA	Estación automática: disponibilidad las 24 horas	20

Estaciones de ECOBICI en CABA

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 229 entries, 0 to 228
Data columns (total 8 columns):
 #   Column      Non-Null Count  Dtype 
---  ------      --------------  ----- 
 0   WKT         229 non-null    object
 1   id          229 non-null    int64 
 2   codigo      229 non-null    int64 
 3   nombre      229 non-null    object
 4   ubicacion   229 non-null    object
 5   tipo        229 non-null    object
 6   horario     229 non-null    object
 7   anclajes_t  229 non-null    int64 
dtypes: int64(3), object(5)
memory usage: 14.4+ KB

	WKT	nombre	anclajes_t
0	POINT (-58.3747109506359 -34.5924239181221)	002 - Retiro I	20
1	POINT (-58.368256111128 -34.611033074021)	003 - ADUANA	20
2	POINT (-58.3687766674259 -34.6018228613782)	004 - Plaza Roma	20
3	POINT (-58.420951914897 -34.5805498216605)	005 - Plaza Italia	42
4	POINT (-58.3697538990917 -34.6285274659984)	006 - Parque Lezama	20

	WKT	nombre	anclajes_t	longitud	latitud
0	POINT (-58.3747109506359 -34.5924239181221)	002 - Retiro I	20	-58.374711	-34.592424
1	POINT (-58.368256111128 -34.611033074021)	003 - ADUANA	20	-58.368256	-34.611033

Index(['WKT', 'nombre', 'anclajes_t', 'longitud', 'latitud'], dtype='object')

Ecobici en CABA

C:\Users\USER\anaconda3\envs\Plotly_Dash_Deploymeny_Heroku\lib\site-packages\pandas\core\frame.py:5034: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  return super().rename(

	nombre	geometry
0	CHACARITA	POLYGON ((-58.45282 -34.59599, -58.45366 -34.5...
1	PATERNAL	POLYGON ((-58.46558 -34.59656, -58.46562 -34.5...

	nombre	geometry
0	002 - Retiro I	POINT (-58.37471 -34.59242)
1	003 - ADUANA	POINT (-58.36826 -34.61103)

C:\Users\USER\anaconda3\envs\Plotly_Dash_Deploymeny_Heroku\lib\site-packages\geopandas\geodataframe.py:1345: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  super().__setitem__(key, value)

	nombre	geometry
0	002 - Retiro I	POINT (-58.37471 -34.59242)
1	003 - ADUANA	POINT (-58.36826 -34.61103)
2	004 - Plaza Roma	POINT (-58.36878 -34.60182)
3	005 - Plaza Italia	POINT (-58.42095 -34.58055)
4	006 - Parque Lezama	POINT (-58.36975 -34.62853)
...	...	...
224	227 -Club Ciudad de Buenos Aires	POINT (-58.45950 -34.54450)
225	016 - Legislatura	POINT (-58.37480 -34.60980)
226	061-Ministerio de Economia	POINT (-58.37071 -34.60894)
227	393 - Barrio 31	POINT (-58.37886 -34.58242)
228	352 - San Jose de Flores	POINT (-58.46325 -34.62908)

229 rows × 2 columns

	nombre_left	geometry	index_right	nombre_right
0	002 - Retiro I	POINT (-58.37471 -34.59242)	45.0	RETIRO
1	003 - ADUANA	POINT (-58.36826 -34.61103)	41.0	MONSERRAT

	nombre_right
PALERMO	12.72
RECOLETA	8.33
SAN NICOLAS	7.02
BALVANERA	5.70
BELGRANO	5.26

	proporcion_bicicletas
PALERMO	12.72
RECOLETA	8.33
SAN NICOLAS	7.02
BALVANERA	5.70
BELGRANO	5.26
CABALLITO	4.82
MONSERRAT	4.39
ALMAGRO	3.95
VILLA CRESPO	3.95
FLORES	3.51
RETIRO	3.51
BOCA	3.07
PARQUE PATRICIOS	2.63
BARRACAS	2.19
PUERTO MADERO	2.19
SAN TELMO	2.19
PARQUE CHACABUCO	2.19
VILLA URQUIZA	1.75
BOEDO	1.75
CONSTITUCION	1.75
CHACARITA	1.75
NUÑEZ	1.32
VILLA DEL PARQUE	1.32
NUEVA POMPEYA	1.32
COGHLAN	1.32
SAN CRISTOBAL	1.32
COLEGIALES	1.32
VILLA ORTUZAR	0.88
VILLA GRAL. MITRE	0.88
SAAVEDRA	0.88
PATERNAL	0.88
VILLA DEVOTO	0.88
PARQUE AVELLANEDA	0.88
VILLA LUGANO	0.44
AGRONOMIA	0.44
VILLA SANTA RITA	0.44
FLORESTA	0.44
PARQUE CHAS	0.44

Campanas verdes en CABA

Barplot para graficar cantidad de campanas verdes por Barrio

	WKT	direccion	barrio	comuna	materiales	mas_info
0	POINT (-58.4436445327415 -34.5893377789048)	AGUIRRE 1447	CHACARITA	15	Papel / Cartón	Los materiales deben estar limpios y secos
1	POINT (-58.5056729127257 -34.6223361926404)	BERMUDEZ 1697	MONTE CASTRO	10	Papel / Cartón	Los materiales deben estar limpios y secos
2	POINT (-58.4129892741202 -34.6451594110446)	CACHI 163	NUEVA POMPEYA	4	Papel / Cartón / Plástico / Metal / Vidrio	Los materiales deben estar limpios y secos
3	POINT (-58.5267564075838 -34.6083119977315)	CERVANTES 3896	VILLA DEVOTO	11	Papel / Cartón	Los materiales deben estar limpios y secos
4	POINT (-58.4307505291444 -34.5991248058184)	CASTILLO 77	VILLA CRESPO	15	Papel / Cartón	Los materiales deben estar limpios y secos

	WKT	direccion	barrio	comuna	materiales	mas_info	longitud	latitud
0	POINT (-58.4436445327415 -34.5893377789048)	AGUIRRE 1447	CHACARITA	15	Papel / Cartón	Los materiales deben estar limpios y secos	-58.443645	-34.589338
1	POINT (-58.5056729127257 -34.6223361926404)	BERMUDEZ 1697	MONTE CASTRO	10	Papel / Cartón	Los materiales deben estar limpios y secos	-58.505673	-34.622336
2	POINT (-58.4129892741202 -34.6451594110446)	CACHI 163	NUEVA POMPEYA	4	Papel / Cartón / Plástico / Metal / Vidrio	Los materiales deben estar limpios y secos	-58.412989	-34.645159
3	POINT (-58.5267564075838 -34.6083119977315)	CERVANTES 3896	VILLA DEVOTO	11	Papel / Cartón	Los materiales deben estar limpios y secos	-58.526756	-34.608312
4	POINT (-58.4307505291444 -34.5991248058184)	CASTILLO 77	VILLA CRESPO	15	Papel / Cartón	Los materiales deben estar limpios y secos	-58.430751	-34.599125
...	...	...	...	...	...	...	...	...
2969	POINT (-58.4729633773137 -34.5720891229715)	PLAZA 2074	VILLA URQUIZA	12	Papel / Cartón / Plástico / Metal / Vidrio	Los materiales deben estar limpios y secos	-58.472963	-34.572089
2970	POINT (-58.4728869384186 -34.5730334040781)	ECHEVERRIA 4110	VILLA URQUIZA	12	Papel / Cartón / Plástico / Metal / Vidrio	Los materiales deben estar limpios y secos	-58.472887	-34.573033
2971	POINT (-58.4725427039566 -34.5708291790821)	TRONADOR 2137	VILLA URQUIZA	12	Papel / Cartón / Plástico / Metal / Vidrio	Los materiales deben estar limpios y secos	-58.472543	-34.570829
2972	POINT (-58.4820045761137 -34.5715381118424)	VALDENEGRO 2506	VILLA URQUIZA	12	Papel / Cartón / Plástico / Metal / Vidrio	Los materiales deben estar limpios y secos	-58.482005	-34.571538
2973	POINT (-58.4490418406134 -34.5627481299131)	3 DE FEBRERO 1729	BELGRANO	13	Papel / Cartón / Plástico / Metal / Vidrio	Los materiales deben estar limpios y secos	-58.449042	-34.562748

2974 rows × 8 columns

	WKT	barrio	latitud	longitud
0	POINT (-58.4436445327415 -34.5893377789048)	CHACARITA	-34.589338	-58.443645
1	POINT (-58.5056729127257 -34.6223361926404)	MONTE CASTRO	-34.622336	-58.505673
2	POINT (-58.4129892741202 -34.6451594110446)	NUEVA POMPEYA	-34.645159	-58.412989
3	POINT (-58.5267564075838 -34.6083119977315)	VILLA DEVOTO	-34.608312	-58.526756
4	POINT (-58.4307505291444 -34.5991248058184)	VILLA CRESPO	-34.599125	-58.430751
...	...	...	...	...
2969	POINT (-58.4729633773137 -34.5720891229715)	VILLA URQUIZA	-34.572089	-58.472963
2970	POINT (-58.4728869384186 -34.5730334040781)	VILLA URQUIZA	-34.573033	-58.472887
2971	POINT (-58.4725427039566 -34.5708291790821)	VILLA URQUIZA	-34.570829	-58.472543
2972	POINT (-58.4820045761137 -34.5715381118424)	VILLA URQUIZA	-34.571538	-58.482005
2973	POINT (-58.4490418406134 -34.5627481299131)	BELGRANO	-34.562748	-58.449042

2974 rows × 4 columns

	Cantidad_por_barrio
BELGRANO	169
VILLA URQUIZA	137

	index	Cantidad_por_barrio
0	BELGRANO	169
1	VILLA URQUIZA	137
2	MATADEROS	133
3	CABALLITO	129
4	PALERMO	121
5	VILLA DEVOTO	121
6	NUÑEZ	107
7	VILLA LUGANO	99
8	FLORES	92
9	ALMAGRO	91
10	SAAVEDRA	90
11	RECOLETA	85
12	VILLA PUEYRREDON	83
13	LINIERS	79
14	VILLA CRESPO	75
15	VILLA LURO	74
16	PARQUE CHACABUCO	74
17	MONTE CASTRO	72
18	BALVANERA	71
19	BOEDO	71
20	PARQUE AVELLANEDA	66
21	VILLA DEL PARQUE	66
22	NUEVA POMPEYA	61
23	COLEGIALES	55
24	VILLA ORTUZAR	53
25	VELEZ SARSFIELD	52
26	BARRACAS	48
27	PARQUE CHAS	47
28	CHACARITA	47
29	VILLA SOLDATI	46
30	SAN CRISTOBAL	43
31	CONSTITUCION	41
32	PARQUE PATRICIOS	38
33	VERSALLES	34
34	VILLA REAL	30
35	FLORESTA	30
36	VILLA SANTA RITA	29
37	SAN TELMO	26
38	AGRONOMIA	25
39	VILLA RIACHUELO	24
40	BOCA	24
41	PATERNAL	24
42	COGHLAN	21
43	VILLA GRAL. MITRE	20
44	MONSERRAT	19
45	RETIRO	13
46	SAN NICOLAS	12
47	PUERTO MADERO	6
48	VILLA GENERAL MITRE	1

	Barrios	Cantidad_por_barrio
0	BELGRANO	169
1	VILLA URQUIZA	137
2	MATADEROS	133
3	CABALLITO	129
4	PALERMO	121
5	VILLA DEVOTO	121
6	NUÑEZ	107
7	VILLA LUGANO	99
8	FLORES	92
9	ALMAGRO	91
10	SAAVEDRA	90
11	RECOLETA	85
12	VILLA PUEYRREDON	83
13	LINIERS	79
14	VILLA CRESPO	75
15	VILLA LURO	74
16	PARQUE CHACABUCO	74
17	MONTE CASTRO	72
18	BALVANERA	71
19	BOEDO	71
20	PARQUE AVELLANEDA	66
21	VILLA DEL PARQUE	66
22	NUEVA POMPEYA	61
23	COLEGIALES	55
24	VILLA ORTUZAR	53
25	VELEZ SARSFIELD	52
26	BARRACAS	48
27	PARQUE CHAS	47
28	CHACARITA	47
29	VILLA SOLDATI	46
30	SAN CRISTOBAL	43
31	CONSTITUCION	41
32	PARQUE PATRICIOS	38
33	VERSALLES	34
34	VILLA REAL	30
35	FLORESTA	30
36	VILLA SANTA RITA	29
37	SAN TELMO	26
38	AGRONOMIA	25
39	VILLA RIACHUELO	24
40	BOCA	24
41	PATERNAL	24
42	COGHLAN	21
43	VILLA GRAL. MITRE	20
44	MONSERRAT	19
45	RETIRO	13
46	SAN NICOLAS	12
47	PUERTO MADERO	6
48	VILLA GENERAL MITRE	1

100.0

	Barrios	Cantidad_por_barrio	%
0	BELGRANO	169	5.682582
1	VILLA URQUIZA	137	4.606590
2	MATADEROS	133	4.472091
3	CABALLITO	129	4.337592
4	PALERMO	121	4.068594
5	VILLA DEVOTO	121	4.068594
6	NUÑEZ	107	3.597848
7	VILLA LUGANO	99	3.328850
8	FLORES	92	3.093477
9	ALMAGRO	91	3.059852
10	SAAVEDRA	90	3.026227
11	RECOLETA	85	2.858104
12	VILLA PUEYRREDON	83	2.790854
13	LINIERS	79	2.656355
14	VILLA CRESPO	75	2.521856
15	VILLA LURO	74	2.488231
16	PARQUE CHACABUCO	74	2.488231
17	MONTE CASTRO	72	2.420982
18	BALVANERA	71	2.387357
19	BOEDO	71	2.387357
20	PARQUE AVELLANEDA	66	2.219233
21	VILLA DEL PARQUE	66	2.219233
22	NUEVA POMPEYA	61	2.051110
23	COLEGIALES	55	1.849361
24	VILLA ORTUZAR	53	1.782112
25	VELEZ SARSFIELD	52	1.748487
26	BARRACAS	48	1.613988
27	PARQUE CHAS	47	1.580363
28	CHACARITA	47	1.580363
29	VILLA SOLDATI	46	1.546738
30	SAN CRISTOBAL	43	1.445864
31	CONSTITUCION	41	1.378615
32	PARQUE PATRICIOS	38	1.277740
33	VERSALLES	34	1.143241
34	VILLA REAL	30	1.008742
35	FLORESTA	30	1.008742
36	VILLA SANTA RITA	29	0.975118
37	SAN TELMO	26	0.874243
38	AGRONOMIA	25	0.840619
39	VILLA RIACHUELO	24	0.806994
40	BOCA	24	0.806994
41	PATERNAL	24	0.806994
42	COGHLAN	21	0.706120
43	VILLA GRAL. MITRE	20	0.672495
44	MONSERRAT	19	0.638870
45	RETIRO	13	0.437122
46	SAN NICOLAS	12	0.403497
47	PUERTO MADERO	6	0.201748
48	VILLA GENERAL MITRE	1	0.033625

Puntos verdes CABA

En la Ciudad de Buenos Aires contamos los puntos verdes, lugares atendidos por personas con un horario determinado quienes reciben residuos recicables. A continuacion veremos cuantos hay por barrio y como se distribuyen.

	WKT	id	nombre	direccion	materiales	mas_info	dia_hora	tipo	cooperativ	calle	altura	calle2	barrio	comuna
0	POINT (-58.464634598031 -34.5673114271266)	PV-073	PLAZA CASTELLI	CONDE y JURAMENTO	RAEES / Aceite vegetal usado (en botellas cerr...	Para entregar los materiales, éstos deben esta...	Martes a Sábado de 11 a 17 hs.	Punto Verde Con Atención	Cooperativa de Trabajo Amanecer de los Cartoneros	CONDE	NaN	JURAMENTO	BELGRANO	COMUNA 13
1	POINT (-58.4247575949544 -34.5890926138789)	PV-081	PLAZA ARMENIA	MALABIA y NICARAGUA	RAEES / Aceite vegetal usado (en botellas cerr...	Para entregar los materiales, éstos deben esta...	Martes a Sábado de 11 a 17 hs.	Punto Verde Con Atención	Cooperativa de Provisión de Servicios para Rec...	MALABIA	NaN	NICARAGUA	PALERMO	COMUNA 14

	WKT	nombre	barrio	comuna
0	POINT (-58.464634598031 -34.5673114271266)	PLAZA CASTELLI	BELGRANO	COMUNA 13
1	POINT (-58.4247575949544 -34.5890926138789)	PLAZA ARMENIA	PALERMO	COMUNA 14
2	POINT (-58.4683708218154 -34.5470464523292)	PLAZA BALCARCE	NUÑEZ	COMUNA 13
3	POINT (-58.5039885340967 -34.5763941135912)	PLAZA LEANDRO N ALEM	VILLA PUEYRREDON	COMUNA 12
4	POINT (-58.4834187153287 -34.6296117832603)	PLAZA VELEZ SARSFIELD	FLORESTA	COMUNA 10
...	...	...	...	...
75	POINT (-58.4768685819074 -34.5443034591689)	PLAZA MAKENNA	SAAVEDRA	COMUNA 12
76	POINT (-58.4770761350183 -34.5500695192027)	PARQUE SAAVEDRA 2	SAAVEDRA	COMUNA 12
77	POINT (-58.4060195134656 -34.6136312184285)	PLAZA MANZANA 66	BALVANERA	COMUNA 3
78	POINT (-58.3963536828733 -34.629193592969)	POLO CIRCO	PARQUE PATRICIOS	COMUNA 4
79	POINT (-58.4433288638415 -34.651102449447)	VILLA 1.11.14	FLORES	COMUNA 7

80 rows × 4 columns

	WKT	nombre	barrio	comuna	longitud	latitud
0	POINT (-58.464634598031 -34.5673114271266)	PLAZA CASTELLI	BELGRANO	COMUNA 13	-58.464635	-34.567311
1	POINT (-58.4247575949544 -34.5890926138789)	PLAZA ARMENIA	PALERMO	COMUNA 14	-58.424758	-34.589093

FLORES                 6
SAAVEDRA               5
BELGRANO               4
PALERMO                4
CABALLITO              4
BALVANERA              3
VILLA URQUIZA          3
MONTE CASTRO           3
LINIERS                3
VERSALLES              2
PARQUE AVELLANEDA      2
LUGANO                 2
PARQUE PATRICIOS       2
COLEGIALES             2
RECOLETA               2
MATADEROS              2
NUÑEZ                  2
BARRACAS               2
SAN CRISTOBAL          2
VILLA PUEYRREDON       2
VELEZ SARSFIELD        2
FLORESTA               2
VILLA DEVOTO           2
VILLA SOLDATI          1
RETIRO                 1
VILLA REAL             1
PARQUE CHACABUCO       1
SAN TELMO              1
LA BOCA                1
POMPEYA                1
CONSTITUCION           1
VILLA OTUZAR           1
VILLA DEL PARQUE       1
BOEDO                  1
VILLA CRESPO           1
PARQUE CHAS            1
VILLA GENERAL MITRE    1
VILLA RIACHUELO        1
CHACARITA              1
ALMAGRO                1
Name: barrio, dtype: int64

	index	Cantidad_por_barrio
0	FLORES	6
1	SAAVEDRA	5

	Barrios	Cantidad_por_barrio
0	FLORES	6
1	SAAVEDRA	5

Barplot con Puntos verdes por barrio

Mapa con distribución de campanas verdes y puntos verdes

Make this Notebook Trusted to load map: File -> Trust Notebook

Ruido en CABA

	wkt	limite_inferior_rango_db	limite_superior_rango_db	comuna	leyenda	rango_db	color	periodo
0	MULTIPOLYGON (((-58.3714231269834 -34.57855223...	30.0	35.0	1	35 dBA o menos	30-35	169 255 115	Diurno
1	MULTIPOLYGON (((-58.3714231269834 -34.57855223...	35.0	40.0	1	35-40 dBA	35-40	76 230 0	Diurno
2	MULTIPOLYGON (((-58.3714231117057 -34.57856621...	40.0	45.0	1	40-45 dBA	40-45	38 115 0	Diurno
3	MULTIPOLYGON (((-58.3719240383553 -34.57857520...	45.0	50.0	1	45-50 dBA	45-50	255 255 0	Diurno
4	MULTIPOLYGON (((-58.3726218651739 -34.57866586...	50.0	55.0	1	50-55 dBA	50-55	254 204 92	Diurno
5	MULTIPOLYGON (((-58.3726217974613 -34.57872863...	55.0	60.0	1	55-60 dBA	55-60	230 152 0	Diurno
6	MULTIPOLYGON (((-58.3729202224756 -34.57883848...	60.0	65.0	1	60-65 dBA	60-65	255 0 0	Diurno
7	MULTIPOLYGON (((-58.3868781702349 -34.57832725...	65.0	70.0	1	65-70 dBA	65-70	115 0 0	Diurno
8	MULTIPOLYGON (((-58.3760498451091 -34.57766206...	70.0	75.0	1	70-75 dBA	70-75	132 0 168	Diurno
9	MULTIPOLYGON (((-58.3760498451091 -34.57766206...	75.0	80.0	1	75-80 dBA	75-80	0 38 255	Diurno
10	MULTIPOLYGON (((-58.3805383917544 -34.58335896...	80.0	85.0	1	80 dBA o más	80-85	0 38 115	Diurno
11	MULTIPOLYGON (((-58.3811701508817 -34.62185097...	85.0	90.0	1	80 dBA o más	85-90	0 38 115	Diurno
12	MULTIPOLYGON (((-58.3798457999066 -34.62527555...	90.0	95.0	1	80 dBA o más	90-95	0 38 115	Diurno
13	MULTIPOLYGON (((-58.3844606626569 -34.57113024...	30.0	35.0	2	35 dBA o menos	30-35	169 255 115	Diurno
14	MULTIPOLYGON (((-58.3844606626569 -34.57113024...	35.0	40.0	2	35-40 dBA	35-40	76 230 0	Diurno
15	MULTIPOLYGON (((-58.3858956374203 -34.57083235...	40.0	45.0	2	40-45 dBA	40-45	38 115 0	Diurno
16	MULTIPOLYGON (((-58.3854338241165 -34.57120609...	45.0	50.0	2	45-50 dBA	45-50	255 255 0	Diurno
17	MULTIPOLYGON (((-58.383678129822 -34.572738365...	50.0	55.0	2	50-55 dBA	50-55	254 204 92	Diurno
18	MULTIPOLYGON (((-58.3836347162917 -34.57326482...	55.0	60.0	2	55-60 dBA	55-60	230 152 0	Diurno
19	MULTIPOLYGON (((-58.383705234339 -34.573787842...	60.0	65.0	2	60-65 dBA	60-65	255 0 0	Diurno

<ipython-input-144-01de002ac2f4>:2: FutureWarning: Assigning CRS to a GeoDataFrame without a geometry column is now deprecated and will not be supported in the future.
  data_mapa_ruido=gpd.GeoDataFrame(data_mapa_ruido, crs='epsg:4326')

	wkt	limite_inferior_rango_db	limite_superior_rango_db	comuna	leyenda	rango_db	color	periodo	centro_poligono	centro_poligono_str	longitud	latitud
0	MULTIPOLYGON (((-58.37142 -34.57855, -58.37150...	30.0	35.0	1	35 dBA o menos	30-35	169 255 115	Diurno	POINT (-58.36355 -34.58784)	POINT (-58.36354709939788 -34.58784171652151)	-58.363547	-34.587842
1	MULTIPOLYGON (((-58.37142 -34.57855, -58.37142...	35.0	40.0	1	35-40 dBA	35-40	76 230 0	Diurno	POINT (-58.36392 -34.59623)	POINT (-58.36391990085204 -34.59623273173637)	-58.363920	-34.596233
2	MULTIPOLYGON (((-58.37142 -34.57857, -58.37142...	40.0	45.0	1	40-45 dBA	40-45	38 115 0	Diurno	POINT (-58.36582 -34.59906)	POINT (-58.36581701626977 -34.59905865069965)	-58.365817	-34.599059
3	MULTIPOLYGON (((-58.37192 -34.57858, -58.37197...	45.0	50.0	1	45-50 dBA	45-50	255 255 0	Diurno	POINT (-58.36520 -34.59597)	POINT (-58.36519673715749 -34.59596566270532)	-58.365197	-34.595966
4	MULTIPOLYGON (((-58.37262 -34.57867, -58.37262...	50.0	55.0	1	50-55 dBA	50-55	254 204 92	Diurno	POINT (-58.36849 -34.59496)	POINT (-58.36848788493747 -34.59496361684349)	-58.368488	-34.594964
5	MULTIPOLYGON (((-58.37262 -34.57873, -58.37262...	55.0	60.0	1	55-60 dBA	55-60	230 152 0	Diurno	POINT (-58.37416 -34.59455)	POINT (-58.37416454457673 -34.59455171902263)	-58.374165	-34.594552
6	MULTIPOLYGON (((-58.37292 -34.57884, -58.37297...	60.0	65.0	1	60-65 dBA	60-65	255 0 0	Diurno	POINT (-58.37476 -34.59637)	POINT (-58.37476189653102 -34.59636996530497)	-58.374762	-34.596370
7	MULTIPOLYGON (((-58.38688 -34.57833, -58.38726...	65.0	70.0	1	65-70 dBA	65-70	115 0 0	Diurno	POINT (-58.37468 -34.60194)	POINT (-58.37467559583867 -34.60193935072115)	-58.374676	-34.601939
8	MULTIPOLYGON (((-58.37605 -34.57766, -58.37611...	70.0	75.0	1	70-75 dBA	70-75	132 0 168	Diurno	POINT (-58.37594 -34.60587)	POINT (-58.37593627396829 -34.60587400738491)	-58.375936	-34.605874
9	MULTIPOLYGON (((-58.37605 -34.57766, -58.37605...	75.0	80.0	1	75-80 dBA	75-80	0 38 255	Diurno	POINT (-58.37838 -34.60897)	POINT (-58.37838485751693 -34.608968294299)	-58.378385	-34.608968

Graficos Plotly

Top 15 de barrios por superficie verde

Top 15 de barrios por superficie verde por m2

Top 15 de barrios por superficie verde por habitante

Mapas de visualización

	barrio	poblacion	wkt	comuna	perimetro	area	superficie_verde	sup_verde/hab	sup_verde/sup
0	AGRONOMIA	13912	POLYGON ((-58.4771156675186 -34.5951149914833,...	15	6556.17	2122169.34	2833.542	0.20	0.0
1	ALMAGRO	131699	POLYGON ((-58.4128700313089 -34.6141162515854,...	5	8537.90	4050752.25	9198.799	0.07	0.0

<ipython-input-151-1157013e76f2>:4: FutureWarning:

Assigning CRS to a GeoDataFrame without a geometry column is now deprecated and will not be supported in the future.

	barrio	poblacion	wkt	comuna	perimetro	area	superficie_verde	sup_verde/hab	sup_verde/sup	centro_poligono	centro_poligono_str	longitud	latitud
0	AGRONOMIA	13912	POLYGON ((-58.47712 -34.59511, -58.47788 -34.5...	15	6556.17	2122169.34	2833.542	0.20	0.0	POINT (-58.48867 -34.59294)	POINT (-58.48867265990651 -34.59294471940873)	-58.488673	-34.592945
1	ALMAGRO	131699	POLYGON ((-58.41287 -34.61412, -58.41282 -34.6...	5	8537.90	4050752.25	9198.799	0.07	0.0	POINT (-58.42174 -34.60923)	POINT (-58.4217445234198 -34.60922725926523)	-58.421745	-34.609227

	barrio	poblacion	wkt	comuna	perimetro	area	superficie_verde	sup_verde/hab	sup_verde/sup	centro_poligono	centro_poligono_str	longitud	latitud	superficie_verde_bins	porcentaje_de_superficie_verde
0	AGRONOMIA	13912	POLYGON ((-58.47712 -34.59511, -58.47788 -34.5...	15	6556.17	2122169.34	2833.542	0.20	0.0	POINT (-58.48867 -34.59294)	POINT (-58.48867265990651 -34.59294471940873)	-58.488673	-34.592945	1	0.018626
1	ALMAGRO	131699	POLYGON ((-58.41287 -34.61412, -58.41282 -34.6...	5	8537.90	4050752.25	9198.799	0.07	0.0	POINT (-58.42174 -34.60923)	POINT (-58.4217445234198 -34.60922725926523)	-58.421745	-34.609227	1	0.060469

Mapa de visualización de i. Espacios verdes, campanas verdes, estaciones de Ecobici y análisis de ruido

<ipython-input-153-749649aa552d>:63: UserWarning:

color argument of Icon should be one of: {'lightgray', 'beige', 'cadetblue', 'gray', 'green', 'orange', 'darkblue', 'darkpurple', 'lightgreen', 'lightred', 'pink', 'lightblue', 'blue', 'black', 'red', 'white', 'darkred', 'purple', 'darkgreen'}.

Make this Notebook Trusted to load map: File -> Trust Notebook

CUADRO PUNTAJES SELECCIONADOS PARA GRÁFICO FINAL

	Barrios	Cantidad_por_barrio	%
0	BELGRANO	169	5.682582
1	VILLA URQUIZA	137	4.606590
2	MATADEROS	133	4.472091
3	CABALLITO	129	4.337592
4	PALERMO	121	4.068594
5	VILLA DEVOTO	121	4.068594
6	NUÑEZ	107	3.597848
7	VILLA LUGANO	99	3.328850
8	FLORES	92	3.093477
9	ALMAGRO	91	3.059852
10	SAAVEDRA	90	3.026227
11	RECOLETA	85	2.858104
12	VILLA PUEYRREDON	83	2.790854
13	LINIERS	79	2.656355
14	VILLA CRESPO	75	2.521856
15	VILLA LURO	74	2.488231
16	PARQUE CHACABUCO	74	2.488231
17	MONTE CASTRO	72	2.420982
18	BALVANERA	71	2.387357
19	BOEDO	71	2.387357
20	PARQUE AVELLANEDA	66	2.219233
21	VILLA DEL PARQUE	66	2.219233
22	NUEVA POMPEYA	61	2.051110
23	COLEGIALES	55	1.849361
24	VILLA ORTUZAR	53	1.782112
25	VELEZ SARSFIELD	52	1.748487
26	BARRACAS	48	1.613988
27	PARQUE CHAS	47	1.580363
28	CHACARITA	47	1.580363
29	VILLA SOLDATI	46	1.546738
30	SAN CRISTOBAL	43	1.445864
31	CONSTITUCION	41	1.378615
32	PARQUE PATRICIOS	38	1.277740
33	VERSALLES	34	1.143241
34	VILLA REAL	30	1.008742
35	FLORESTA	30	1.008742
36	VILLA SANTA RITA	29	0.975118
37	SAN TELMO	26	0.874243
38	AGRONOMIA	25	0.840619
39	VILLA RIACHUELO	24	0.806994
40	BOCA	24	0.806994
41	PATERNAL	24	0.806994
42	COGHLAN	21	0.706120
43	VILLA GRAL. MITRE	20	0.672495
44	MONSERRAT	19	0.638870
45	RETIRO	13	0.437122
46	SAN NICOLAS	12	0.403497
47	PUERTO MADERO	6	0.201748
48	VILLA GENERAL MITRE	1	0.033625

	barrio	superficie_verde	%
0	AGRONOMIA	2833.542	0.018626
1	ALMAGRO	9198.799	0.060469
2	BALVANERA	30755.787	0.202174
3	BARRACAS	225939.635	1.485219
4	BELGRANO	1278224.942	8.402439
5	BOCA	102472.372	0.673604
6	BOEDO	12126.601	0.079714
7	CABALLITO	215874.599	1.419056
8	CHACARITA	93385.211	0.613870
9	COGHLAN	17422.862	0.114530
10	COLEGIALES	49849.685	0.327688
11	CONSTITUCION	70559.433	0.463824
12	FLORES	214981.012	1.413182
13	FLORESTA	19737.558	0.129745
14	LINIERS	60001.547	0.394421
15	MATADEROS	116340.600	0.764767
16	MONSERRAT	71474.021	0.469836
17	MONTE CASTRO	26018.578	0.171034
18	NUEVA POMPEYA	97422.189	0.640407
19	NUÑEZ	411186.015	2.702940
20	PALERMO	2217272.262	14.575287
21	PARQUE AVELLANEDA	537202.616	3.531313
22	PARQUE CHACABUCO	129775.942	0.853085
23	PARQUE CHAS	5123.405	0.033679
24	PARQUE PATRICIOS	249352.862	1.639126
25	PATERNAL	81800.308	0.537716
26	PUERTO MADERO	2825066.839	18.570638
27	RECOLETA	336024.821	2.208866
28	RETIRO	142701.684	0.938053
29	SAAVEDRA	840890.532	5.527612
30	SAN CRISTOBAL	15241.868	0.100193
31	SAN NICOLAS	70457.296	0.463153
32	SAN TELMO	66733.840	0.438676
33	VELEZ SARSFIELD	28238.800	0.185628
34	VERSALLES	33870.618	0.222649
35	VILLA CRESPO	12319.446	0.080982
36	VILLA DEL PARQUE	16665.378	0.109550
37	VILLA DEVOTO	79363.310	0.521696
38	VILLA GRAL. MITRE	14182.663	0.093230
39	VILLA LUGANO	1204124.548	7.915339
40	VILLA LURO	32149.229	0.211334
41	VILLA ORTUZAR	13436.444	0.088325
42	VILLA PUEYRREDON	120704.787	0.793456
43	VILLA REAL	31568.328	0.207515
44	VILLA RIACHUELO	79177.858	0.520477
45	VILLA SANTA RITA	355.205	0.002335
46	VILLA SOLDATI	2860114.663	18.801026
47	VILLA URQUIZA	42825.109	0.281512

	index	proporcion_bicicletas
0	PALERMO	12.72
1	RECOLETA	8.33
2	SAN NICOLAS	7.02
3	BALVANERA	5.70
4	BELGRANO	5.26
5	CABALLITO	4.82
6	MONSERRAT	4.39
7	ALMAGRO	3.95
8	VILLA CRESPO	3.95
9	FLORES	3.51
10	RETIRO	3.51
11	BOCA	3.07
12	PARQUE PATRICIOS	2.63
13	BARRACAS	2.19
14	PUERTO MADERO	2.19
15	SAN TELMO	2.19
16	PARQUE CHACABUCO	2.19
17	VILLA URQUIZA	1.75
18	BOEDO	1.75
19	CONSTITUCION	1.75
20	CHACARITA	1.75
21	NUÑEZ	1.32
22	VILLA DEL PARQUE	1.32
23	NUEVA POMPEYA	1.32
24	COGHLAN	1.32
25	SAN CRISTOBAL	1.32
26	COLEGIALES	1.32
27	VILLA ORTUZAR	0.88
28	VILLA GRAL. MITRE	0.88
29	SAAVEDRA	0.88
30	PATERNAL	0.88
31	VILLA DEVOTO	0.88
32	PARQUE AVELLANEDA	0.88
33	VILLA LUGANO	0.44
34	AGRONOMIA	0.44
35	VILLA SANTA RITA	0.44
36	FLORESTA	0.44
37	PARQUE CHAS	0.44

	barrio	superficie_verde	%	proporcion_bicicletas
0	AGRONOMIA	2833.542	0.018626	0.44
1	ALMAGRO	9198.799	0.060469	3.95
2	BALVANERA	30755.787	0.202174	5.70
3	BARRACAS	225939.635	1.485219	2.19
4	BELGRANO	1278224.942	8.402439	5.26
5	BOCA	102472.372	0.673604	3.07
6	BOEDO	12126.601	0.079714	1.75
7	CABALLITO	215874.599	1.419056	4.82
8	CHACARITA	93385.211	0.613870	1.75
9	COGHLAN	17422.862	0.114530	1.32
10	COLEGIALES	49849.685	0.327688	1.32
11	CONSTITUCION	70559.433	0.463824	1.75
12	FLORES	214981.012	1.413182	3.51
13	FLORESTA	19737.558	0.129745	0.44
14	LINIERS	60001.547	0.394421	NaN
15	MATADEROS	116340.600	0.764767	NaN
16	MONSERRAT	71474.021	0.469836	4.39
17	MONTE CASTRO	26018.578	0.171034	NaN
18	NUEVA POMPEYA	97422.189	0.640407	1.32
19	NUÑEZ	411186.015	2.702940	1.32
20	PALERMO	2217272.262	14.575287	12.72
21	PARQUE AVELLANEDA	537202.616	3.531313	0.88
22	PARQUE CHACABUCO	129775.942	0.853085	2.19
23	PARQUE CHAS	5123.405	0.033679	0.44
24	PARQUE PATRICIOS	249352.862	1.639126	2.63
25	PATERNAL	81800.308	0.537716	0.88
26	PUERTO MADERO	2825066.839	18.570638	2.19
27	RECOLETA	336024.821	2.208866	8.33
28	RETIRO	142701.684	0.938053	3.51
29	SAAVEDRA	840890.532	5.527612	0.88
30	SAN CRISTOBAL	15241.868	0.100193	1.32
31	SAN NICOLAS	70457.296	0.463153	7.02
32	SAN TELMO	66733.840	0.438676	2.19
33	VELEZ SARSFIELD	28238.800	0.185628	NaN
34	VERSALLES	33870.618	0.222649	NaN
35	VILLA CRESPO	12319.446	0.080982	3.95
36	VILLA DEL PARQUE	16665.378	0.109550	1.32
37	VILLA DEVOTO	79363.310	0.521696	0.88
38	VILLA GRAL. MITRE	14182.663	0.093230	0.88
39	VILLA LUGANO	1204124.548	7.915339	0.44
40	VILLA LURO	32149.229	0.211334	NaN
41	VILLA ORTUZAR	13436.444	0.088325	0.88
42	VILLA PUEYRREDON	120704.787	0.793456	NaN
43	VILLA REAL	31568.328	0.207515	NaN
44	VILLA RIACHUELO	79177.858	0.520477	NaN
45	VILLA SANTA RITA	355.205	0.002335	0.44
46	VILLA SOLDATI	2860114.663	18.801026	NaN
47	VILLA URQUIZA	42825.109	0.281512	1.75

	barrio	%_x	proporcion_bicicletas	%_y
0	AGRONOMIA	0.018626	0.44	0.840619
1	ALMAGRO	0.060469	3.95	3.059852

	barrio	proporcion_espverdes	proporcion_bicicletas	proporcion_campverdes
0	AGRONOMIA	0.018626	0.44	0.840619
1	ALMAGRO	0.060469	3.95	3.059852

CUADRO FINAL ESTACIONES DE ECOBICIS

CUADRO FINAL ESPACIOS VERDES

CUADRO FINAL CAMPANAS VERDES

RADAR CHART CON VARIABLES SELECCIONADAS : ESTACIONES DE ECOBICI, CAMPANAS VERDES y ESPACIOS VERDES POR BARRIO

	barrio	proporcion_espverdes
46	VILLA SOLDATI	18.801026
26	PUERTO MADERO	18.570638
20	PALERMO	14.575287

	barrio	proporcion_bicicletas
20	PALERMO	12.72
27	RECOLETA	8.33
31	SAN NICOLAS	7.02

	barrio	proporcion_campverdes
4	BELGRANO	5.682582
47	VILLA URQUIZA	4.606590
15	MATADEROS	4.472091
7	CABALLITO	4.337592
37	VILLA DEVOTO	4.068594
20	PALERMO	4.068594

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